Dust vs Windmill
Side-by-side trajectory, velocity, and editorial themes.
Dust doubles down on MCP-native agents with multi-model routing and enterprise guardrails.
Dust is building an MCP-native agent platform with broad model coverage and growing enterprise depth. The May cadence shows parallel investment in agent capability (vision via MCP tools, context compaction, frame editing/export) and operational readiness (audit logs, SIEM streaming, protocol migrations). Mobile is getting a voice-first input redesign.
The product is converging on agents-in-the-enterprise via MCP, with multi-model routing as table stakes. MCP V2 migrations and image returns from MCP tools point to the protocol becoming Dust's integration backbone. The model-refresh cadence — three vendors in 48 hours — suggests model routing is now a core competency, not a feature.
Expect more MCP V2 connector migrations and richer MCP return types beyond images. The voice-first mobile input bar likely precedes a deeper voice-mode agent surface.
Windmill is quietly turning its orchestrator into a DuckLake-native data platform.
Windmill remains a script-and-workflow orchestrator, but its recent output has narrowed almost entirely to the data layer: DuckLake materialization, partitioned assets, freshness, and now schema contracts. The changelog reads less like a general automation tool and more like a managed lakehouse being assembled on top of the existing job engine, with most of the heavier machinery gated to Enterprise Edition.
The direction is a governed, self-maintaining data platform: fork-scoped data environments for isolated iteration, freshness SLAs with an auto-healing watchdog, scheduled compaction and retention, range backfills, and save-time schema validation between producers and consumers. Each release hardens a different operational corner of the DuckLake stack rather than adding breadth, so Windmill is deepening into data-ops rather than widening its surface.
Schema contracts shipped as non-blocking warnings, so the next likely move is to tighten that loop — enforceable contracts or richer lineage on the DuckLake graph. Continued Enterprise gating of the data-ops features (maintenance, freshness watchdog, range backfill) also points to a productized data-platform tier.
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